Bibliographic record
Abstract
This study aimed to investigate the relationship between five transformational leadership skills and organizational responsibility of managers of elementary schools in first and second middle school in region 3 in Tehran and in the sample size of 162 people which was determined according to Krejcie and Morgan table and was selected by random cluster method.The method of study is practical in terms of the objective, correlational in terms of data collection method and case study in terms of the scope of the research.To collect data, a researcher made questionnaire related to transformational leadership including 5 components, 44 questions and alpha 0/95 and a researcher made organizational responsibility questionnaire with 4 components, 31 questions and alpha 88/0, have been used.Data were analyzed using SPSS software in two descriptive and inferential levels.In the description level, the measures of central tendency and dispersion of different charts was used and to evaluate hypotheses of study stepwise multivariable regression analysis and Pearson correlation coefficient and statistical test of it was used.The findings suggest that 1) five empowerment skills, inspiration and experience, leadership vision, personal recognition, harmony of values have significant relationship with organizational responsibility and its components, but with the arrival of stepwise multivariate regression and interacting of predictor variables, only 4 leadership skills could predict organizational responsibility and skill of inspiration and experience are not able to predict organizational responsibility.
Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.
How this classification was reachedexpand
Full frame distilled prediction
Teacher imitationNot calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.
Codex and Gemma teacher scores by category
| Category | Codex | Gemma |
|---|---|---|
| Metaresearch | 0.000 | 0.000 |
| Meta-epidemiology (narrow) | 0.000 | 0.000 |
| Meta-epidemiology (broad) | 0.000 | 0.000 |
| Bibliometrics | 0.000 | 0.000 |
| Science and technology studies | 0.000 | 0.000 |
| Scholarly communication | 0.000 | 0.000 |
| Open science | 0.000 | 0.000 |
| Research integrity | 0.000 | 0.000 |
| Insufficient payload (model declined to judge) | 0.994 | 0.996 |
Machine scores (provisional)
The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.
Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.
score_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from itClassification
machine, unvalidatedMachine predicted; both teacher heads agree on what is shown here.
How this classification was reached, model by model and score by score, is at the end of the page under "How this classification was reached".